93 Deep Learning Jobs in Gurgaon / Gurugram

Welcome to the relentless pursuit of better.

Inviting applications for the role of Data Scientist

The position is based out of India and the focus of the role is to have enterprise level experience in Predictive and NLP Model build, validation, implementation, monitoring, etc. and do analysis on data, be able to understand, translate and integrate the analysis.

We are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence.

Responsibilities

• Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions.
• Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models.
• Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.
• Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment.
• Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements.
• Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents.
• Lead efforts to train and fine-tune language models, ensuring they meet high standards of performance, efficiency, and safety.
• Work on strategies to scale language models, optimizing for efficiency and reducing resource consumption.
• Deploy model in cloud- Azure, AWS, GCP.

Qualifications we seek in you.

Minimum qualifications

• Education in Statistics, Mathematics, Computer Science, or another quantitative field.

Preferred qualifications

• Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience in deploying LLM models in production.
• Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc.
• Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models.
• Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models like Llama 2, Falcon LLM.
• Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).
• Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
• Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.
• Prior experience in handling LLM use cases or working with large-scale language models is highly desirable.
• Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.